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整合转录组学和蛋白质组学以筛选与牛出生体重相关的候选基因。

Combining Transcriptomics and Proteomics to Screen Candidate Genes Related to Bovine Birth Weight.

作者信息

Wang Xiuyuan, Liu Ruili, Chen Zhenpeng, Zhang Renzheng, Mei Yanfang, Miao Xiuping, Bai Xuejin, Dong Yajuan

机构信息

Laboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao 266109, China.

Black Cattle Seed Industry Innovation Center, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao 266109, China.

出版信息

Animals (Basel). 2024 Sep 23;14(18):2751. doi: 10.3390/ani14182751.

Abstract

UNLABELLED

The placenta is a vital organ in bovine reproduction, crucial for blood supply, nutrient transport, and embryonic development. It plays an essential role in the intrauterine growth of calves. However, the molecular mechanisms governing placental function in calves remain inadequately understood.

METHODS

We established transcriptome and proteome databases for low-birth-weight (LB) and high-birth-weight (HB) calf placentae, identifying key genes and proteins associated with birth weight through bioinformatics analyses that included functional enrichment and protein-protein interactions (PPIs). Both mRNA and protein levels were validated.

RESULTS

A total of 1494 differentially expressed genes (DEGs) and 294 differentially expressed proteins (DEPs) were identified when comparing the LB group to the HB group. Furthermore, we identified 53 genes and proteins exhibiting significant co-expression across both transcriptomic and proteomic datasets; among these, 40 were co-upregulated, 8 co-downregulated, while 5 displayed upregulation at the protein level despite downregulation at the mRNA level. Functional enrichment analyses (GO and KEGG) and protein-protein interaction (PPI) analysis indicate that, at the transcriptional level, the primary factor contributing to differences in calf birth weight is that the placenta of the high-birth-weight (HB) group provides more nutrients to the fetus, characterized by enhanced nutrient transport ( and ), energy metabolism (, , , , and ), and lipid synthesis ( and ). In contrast, the placenta of the low-birth-weight (LB) group prioritizes cell proliferation ( and ) and angiogenesis. At the protein level, while the placentae from the HB group exhibit efficient energy production and lipid synthesis, they also demonstrate reduced immunity to various diseases such as systemic lupus erythematosus and bacterial dysentery. Conversely, the LB group placentae excel in regulating critical biological processes, including cell migration, proliferation, differentiation, apoptosis, and signal transduction; they also display higher disease immunity markers (COL6A1, TNC CD36, CD81, Igh-1a, and IGHG) compared to those of the HB group placentae. Co-expression analysis further suggests that increases in calf birth weight can be attributed to both high-efficiency energy production and lipid synthesis within the HB group placentae (ELOVL5, ELOVL7, and ACSL1), alongside cholesterol biosynthesis and metabolic pathways involving CYP11A1 and CYP17A1.

CONCLUSION

We propose that ELOVL5, ELOVL7, ACSL1, CYP11A1, and CYP17A1 serve as potential protein biomarkers for regulating calf birth weight through the modulation of the fatty acid metabolism, lipid synthesis, and cholesterol levels.

摘要

未标记

胎盘是牛繁殖中的重要器官,对血液供应、营养物质运输和胚胎发育至关重要。它在犊牛的子宫内生长中起着重要作用。然而,犊牛胎盘功能的分子机制仍未得到充分了解。

方法

我们建立了低出生体重(LB)和高出生体重(HB)犊牛胎盘的转录组和蛋白质组数据库,通过包括功能富集和蛋白质-蛋白质相互作用(PPI)在内的生物信息学分析,确定了与出生体重相关的关键基因和蛋白质。对mRNA和蛋白质水平均进行了验证。

结果

比较LB组和HB组时,共鉴定出1494个差异表达基因(DEG)和294个差异表达蛋白质(DEP)。此外,我们在转录组和蛋白质组数据集中鉴定出53个基因和蛋白质表现出显著的共表达;其中,40个共上调,8个共下调,而5个在mRNA水平下调但在蛋白质水平上调。功能富集分析(GO和KEGG)和蛋白质-蛋白质相互作用(PPI)分析表明,在转录水平上,导致犊牛出生体重差异的主要因素是高出生体重(HB)组的胎盘为胎儿提供了更多营养,其特征是营养物质运输( 和 )、能量代谢( 、 、 、 、和 )和脂质合成( 和 )增强。相比之下,低出生体重(LB)组的胎盘优先考虑细胞增殖( 和 )和血管生成。在蛋白质水平上,虽然HB组的胎盘表现出高效的能量产生和脂质合成,但它们对系统性红斑狼疮和细菌性痢疾等各种疾病的免疫力也降低。相反,LB组的胎盘在调节包括细胞迁移、增殖、分化、凋亡和信号转导在内的关键生物学过程方面表现出色;与HB组的胎盘相比,它们还显示出更高的疾病免疫标志物(COL6A1、TNC、CD36、CD81、Igh-1a和IGHG)。共表达分析进一步表明,犊牛出生体重的增加可归因于HB组胎盘内的高效能量产生和脂质合成(ELOVL5、ELOVL7和ACSL1),以及涉及CYP11A1和CYP17A1的胆固醇生物合成和代谢途径。

结论

我们提出,ELOVL5、ELOVL7、ACSL1、CYP11A1和CYP17A1作为潜在的蛋白质生物标志物,可通过调节脂肪酸代谢、脂质合成和胆固醇水平来调节犊牛出生体重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a7d/11429316/3e07e4db8d74/animals-14-02751-g001.jpg

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